And when that happens, you'll quickly start to see professional schemers and hustlers coming in to buy them, the most aggressive of whom will start surreptitiously converting some of those projects into things like data siphons or bot shells, may relicense and restructure them for further monetization or to set up targeted lawsuits, etc
It creates a whole new and dangerous incentive scheme, not unlike the one that's already corrupted the browser extension ecosystem.
To avoid that from happening, people need to be actually paying attention to what they're paying for, when they're paying for it, so that they can make sure they're still getting what they expect. Automated/algorithmic schemes like this specifically avoid that.
They're a great idea in theory, meant to address a real issue in what reward open source developers might see from popular work, but as you suggest, it opens a very wide and inviting door for trouble at scale.
A related project I recently found out about is https://www.drips.network/ The more I think about it, the more I like it.
In fact, TFA says
> But how should one decide which users to sponsor and how much to donate to each one? It requires data on their importance, and I used PyPI to roughly estimate it for Python packages.
It's better to have one of the slabs in the XKCD comic fund the ones immediately below it than to have users look at the whole thing from the outside and try to arbitrarily allocate importance via some metric like PyPI downloads, GitHub stars and whatnot
But as I said elsewhere, I'm not using this to dismiss the idea or assert that it can't improve things overall. The status quo seems to be pretty bad, so an alternative certainly doesn't have to be flawless to be better overall.
Goodhart's law is an adage often stated as, "When a measure becomes a target, it ceases to be a good measure"